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Stochastic Optimization Methods - Kurt Marti
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2010, ISBN: 3642098363

Capa comum, [EAN: 9783642098369], Springer, Springer, Book, [PU: Springer], 2010-11-06, Springer, Optimization problems arising in practice involve random model parameters. For the computation of robust optimal solutions, i.e., optimal solutions being insenistive with respect to random parameter variations, appropriate deterministic substitute problems are needed. Based on the probability distribution of the random data, and using decision theoretical concepts, optimization problems under stochastic uncertainty are converted into appropriate deterministic substitute problems. Due to the occurring probabilities and expectations, approximative solution techniques must be applied. Several deterministic and stochastic approximation methods are provided: Taylor expansion methods, regression and response surface methods (RSM), probability inequalities, multiple linearization of survival/failure domains, discretization methods, convex approximation/deterministic descent directions/efficient points, stochastic approximation and gradient procedures, differentiation formulas for probabilities and expectations., 13984535011, Programação Linear, 13984530011, Aplicada, 13984528011, Matemática, 7882699011, Ciências Tecnológicas, 7882627011, Inglês e Outras Línguas, 7841278011, Categorias, 6740748011, Livros, 13983164011, Pesquisa Operacional, 13983151011, Gestão e Liderança, 7882717011, Administração, Negócios e Economia, 7882627011, Inglês e Outras Línguas, 7841278011, Categorias, 6740748011, Livros, 13985705011, Engenharia, 13985706011, Automotivo, 13985707011, Civil, 13985726011, Ciência dos Materiais, 13985730011, Elétrica e Eletrônica, 13985751011, Industrial, Fabricação e Sistemas Operacionais, 13985760011, Mecânica, 13985768011, Medição, 13985769011, Nuclear, 13985770011, Petróleo, 13985771011, Química, 13985775011, Referêncial, 13985776011, Tecnologia da Computação, 13985781011, Telecomunicações, 13985688011, Engenharia e Transporte, 7882627011, Inglês e Outras Línguas, 7841278011, Categorias, 6740748011, Livros, 8169562011, Custom Stores, 8169627011, Busca Avançada, 13420260011, Volta às Aulas, 8169561011, Specialty Stores, 6740748011, Livros

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2010, ISBN: 3642098363

[SR: 8977356], Paperback, [EAN: 9783642098369], Springer, Springer, Book, [PU: Springer], 2010-11-06, Springer, Stochastic Optimization Methods Optimization problems arising in practice involve random model parameters. This book features many illustrations, several examples, and applications to concrete problems from engineering and operations research., 269531, Managers' Guides to Computing, 404214, E-Commerce, 68, Business, Finance & Law, 1025612, Subjects, 266239, Books, 268292, Decision Making, 659930, Management Skills, 268290, Management, 68, Business, Finance & Law, 1025612, Subjects, 266239, Books, 268296, Operational Research, 268290, Management, 68, Business, Finance & Law, 1025612, Subjects, 266239, Books, 404260, Artificial Intelligence, 269265, Computer Science, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 269709, Algorithms, 269678, Programming, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 923008, Higher Education, 922364, Education, 278115, Engineering & Technology, 57, Science & Nature, 1025612, Subjects, 266239, Books, 278329, Applied Mathematics, 922530, Mathematical Modelling, 278335, Mathematics for Scientists & Engineers, 278419, Physics, 278320, Mathematics, 57, Science & Nature, 1025612, Subjects, 266239, Books, 923006, Higher Education, 922526, Education, 278320, Mathematics, 57, Science & Nature, 1025612, Subjects, 266239, Books, 278383, Linear Programming, 278380, Optimisation, 278320, Mathematics, 57, Science & Nature, 1025612, Subjects, 266239, Books, 564346, Engineering, 571042, Chemical & Biochemical Engineering, 571044, Civil Engineering, 571500, Electrical Engineering, 571046, Electronics & Telecommunications Engineering, 571052, Energy Engineering, 571056, Engineering Skills & Design, 571048, Environmental Engineering, 573598, Industrial Chemistry & Manufacturing Technologies, 571050, Mechanical & Material Engineering, 564334, Scientific, Technical & Medical, 1025612, Subjects, 266239, Books

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Optimization problems arising in practice involve random model parameters. For the computation of robust optimal solutions, i.e., optimal solutions being insenistive with respect to random parameter variations, appropriate deterministic substitute problems are needed. Based on the probability distribution of the random data, and using decision theoretical concepts, optimization problems under stochastic uncertainty are converted into appropriate deterministic substitute problems. Due to the occurring probabilities and expectations, approximative solution techniques must be applied. Several deterministic and stochastic approximation methods are provided: Taylor expansion methods, regression and response surface methods (RSM), probability inequalities, multiple linearization of survival/failure domains, discretization methods, convex approximation/deterministic descent directions/efficient points, stochastic approximation and gradient procedures, differentiation formulas for probabilities and expectations. Kurt Marti, Books, Business and Finance, Management and Leadership, Operations Research, Stochastic Optimization Methods Books>Business and Finance>Management and Leadership>Operations Research, Springer Berlin Heidelberg

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Stochastic Optimization Methods:Softcover reprint of hardcover 2nd ed. 2008. Kurt Marti Stochastic Optimization Methods:Softcover reprint of hardcover 2nd ed. 2008. Kurt Marti Bücher > Wissenschaft > Wirtschaftswissenschaft, Springer

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Stochastic Optimization Methods Stochastic-Optimization-Methods~~Kurt-Marti Business>Management>Mgt/Leadership Paperback, Springer Berlin Heidelberg

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Stochastic Optimization Methods

Optimization problems arising in practice involve random model parameters. For the computation of robust optimal solutions, i.e., optimal solutions being insenistive with respect to random parameter variations, appropriate deterministic substitute problems are needed. Based on the probability distribution of the random data, and using decision theoretical concepts, optimization problems under stochastic uncertainty are converted into appropriate deterministic substitute problems. Due to the occurring probabilities and expectations, approximative solution techniques must be applied. Several deterministic and stochastic approximation methods are provided: Taylor expansion methods, regression and response surface methods (RSM), probability inequalities, multiple linearization of survival/failure domains, discretization methods, convex approximation/deterministic descent directions/efficient points, stochastic approximation and gradient procedures, differentiation formulas for probabilities and expectations.

Detailangaben zum Buch - Stochastic Optimization Methods


EAN (ISBN-13): 9783642098369
ISBN (ISBN-10): 3642098363
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: Springer-Verlag GmbH
356 Seiten
Gewicht: 0,538 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 03.08.2010 15:57:05
Buch zuletzt gefunden am 15.10.2017 10:17:37
ISBN/EAN: 9783642098369

ISBN - alternative Schreibweisen:
3-642-09836-3, 978-3-642-09836-9


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